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O design da informação na criação de um modelo para o museu afro brasil: um estudo comparativo

2017· article· pt· W2941493244 on OpenAlex
María José Vicentini Jorente, Natália Nakano, Lucinéia da Silva Batista, Nandia Letícia Freitas Rodrigues

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePesquisa Brasileira em Ciência da Informação e Biblioteconomia · 2017
Typearticle
Languagept
FieldSocial Sciences
TopicEducation and Digital Technologies
Canadian institutionsCanadian Museum of Nature
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

O uso de Web colaborativa em ambientes digitais de comunicação e disseminação da informação por instituições museológicas possibilita, de forma ideal, o acesso e a interação com internautas. Entretanto, percebe-se que, no Brasil, os Websites de museus afro, em sua grande maioria, utilizam, ainda, de um modelo informacional na ambiência virtual caracterizado como Web 1.0. Buscamos, neste sentido, sob a égide da Ciência da Informação (CI), comparar e analisar recursos do Design da Informação (DI) e de Curadoria Digital do Website do Museu Afro Brasil (MAB) e do Canadian Museum of History nas convergências de linguagens em suas interfaces de interação. A metodologia se caracteriza como teórica e exploratória, com fundamentação teórica sobre o Design da Informação e funcionalidades da Web 2.0. A análise comparativa com Canadian Museum of History oferece subsídios para a verificação da interatividade e pode ser modelar.Palavras-Chave: Informação e Tecnologia. Web colaborativa. Design da Informação. Curadoria Digital. Museus.Link: http://www2.marilia.unesp.br/revistas/index.php/bjis/article/view/6042

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.159
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0050.004
Science and technology studies0.0060.003
Scholarly communication0.0140.016
Open science0.0070.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.005

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.176
GPT teacher head0.379
Teacher spread0.203 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it